Data & AI Technology Sales Director

Accenture•Kirkland, WA

1d•$136,800 - $237,600•Hybrid

About The Position

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work. With over 77,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. This role is for a growth-focused sales professional who has successfully created positive impact through year-on-year business expansion. You know – and have run all phases of a sales cycle, including qualification, sales pursuit and close by applying deep sales process and technical expertise. You develop relationships with key buyers and decision-makers at new and existing clients by utilizing a differentiated roadmap and framework leveraging the latest cloud-based technologies. As a Sales capture, you will originate new sales opportunities unrelated to extensions or renewals in a complex environment, typically cross service-group. Lead early-stage positioning with clients and develop and execute the origination strategy to identify and qualify specific opportunities. Continue working with the sales team to ensure closure of sales. May focus on a single large account, leveraging deep content knowledge and client relationships to originate and close opportunities at that client.

Requirements

Minimum of 8 years of experience in selling data solutions, analytical data warehouses, cloud data migration solutions, analytics/reporting solutions to harness the power of AI and GenAI for our clients.
Minimum of 2 years of experience in selling Snowflake and/or Databricks platforms.
Minimum of 5 years previous experience of selling into any of these industries is required; Financial Services, Communications/Media/Technology, Products (Consumer, Retails, Industrial), Public Sector, Resources (Utilities, Oil & Gas, Energy)
Minimum of 8 years’ Sales Pursuit Management experience.
Minimum of 2 years’ experience in direct sales, preferably with quota of $10M+.
Proven ability to manage the entire sales cycle (customer identification, outreach, proposal creation, contract negotiations, closing, metrics reporting).
Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate’s degree, must have minimum 6 years work experience).

Nice To Haves

Thought leadership in data migration, modernization and managed services, building new data architectures (Mesh/Fabric), data products and marketplaces, cloud data & analytics platforms and use cases, AI and Gen AI foundation model services.
Experience working within G2000 customers.
Experience with C-Level client relationship building and relationship management.
Proven ability to operate within a team-oriented environment.
Demonstrated commitment, teamwork and collaboration in a professional setting; either military or civilian.
High energy level, focus and ability to work well in demanding client environments.
Excellent communication (written and oral) and interpersonal skills.
Strong leadership, problem solving, and decision-making abilities.
Unquestionable professional integrity, credibility and character.
Strong Ecosystem selling experience with AI led Data engineering transformational programs.

Responsibilities

Create solutions to complex technology business problems/opportunities requiring in-depth knowledge of client buyer needs.
Interacts with senior management levels at clients and within Accenture, determines pursuit strategies, develops client messaging plans and relationships, and applies industry-leading Snowflake or Databricks transformation strategies and practices.
Has latitude in decision-making and determining objectives and approaches to critical assignments.
Operates within large teams and directs specific team sales activities.
Ability to mobilize the Ecosystem partners (AWS, MS, SAP etc.) for driving larger Mega deals – driving business outcomes tied to RPO (remaining performance obligations) of the ecosystem.